Caitlin Sullivan

Caitlin Sullivan

16.1K Subscribers

Ex-Head of UXR in Product Team - Spotify Business, Advisor, Top 100

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Caitlin Sullivan will turn you into an AI-native insights operator

I was already using AI to get validated customer insights in half the time.

Then I spent months building the systems that made it actually reliable —validated insights, automated workflows, evals that prove what's working.

Now I help PMs, growth leaders, designers, and customer insights teams do the same:

-> Cut through customer data noise, surface real signal, and build insights they can defend in a product decision.

I've stress-tested these systems with teams at YouTube, Canva, Meta, and Figma, and advise companies like Maze on delivering better insights to customers using their tools.

My courses package what I've built into hands-on workflows you can run from day one — so you can skip months of thinking your insights were good enough (and finding out too late they weren't).

Trusted to train these teams in AI discovery:
YouTube
Canva
Figma
Ramp
Meta

Alumni reviews

Valeria

Live cohort
Principal UX designer · EF - Education First

AI Customer Research Analysis for Designers, Researchers and PMs

Pragmatic, insightful, and hands-on. The learnings can be put to work from day one. Great support from Caitlin; attending live sessions is very valuable. Make sure you make time to follow the learnings at cohort pace to maximize learning.

Carolyn

Live cohort
The material I learned here was immediately applicable to my job. I also appreciated the time that was spent answering our specific questions.

Paul

Live cohort
Caitlin is one of the leaders in this space right now and this course certainly shows it. The content within is absolute gold for anyone in the research space and the weekly live calls Caitlin conducts are worth every minute. I'm already putting into practise what i've learned and are seeing tangible benefits.

Mig-lė

Live cohort
Caitlin gives a lot of useful information and makes the course very hands-on.

Camilo

Live cohort
This course is exceptionally valuable for anyone looking to integrate AI into research and qualitative analysis with confidence. It goes far beyond prompt engineering by teaching practical, repeatable systems for analyzing datasets, building reliable AI-assisted workflows, and implementing validation processes that keep the human in the loop. One of the most valuable takeaways is learning how to systematically verify AI-generated insights, identify potential biases, and create quality checks that make AI outputs more trustworthy. The frameworks for benchmarking tools, experimenting with different AI approaches, and building multi-step analysis workflows are immediately applicable to real-world research.